How-To Geek on MSN

These 7 Python libraries are useful even if you're not a developer

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.
techtimes

AMD and Intel’s ACE Locks In x86 AI Compute Standard, Replacing Intel’s Older AMX

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...
GitHub

xarray: N-D labeled arrays and datasets

xarray (pronounced "ex-array", formerly known as xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray ...
Analytics Insight

Data Analysis with Python: Using Pandas, NumPy, and Matplotlib

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...
TechRepublic

Top Python AI and Machine Learning Libraries

Learn about some of the best Python libraries for programming artificial Intelligence, machine learning, and deep learning. A lot of software developers are drawn to Python due to its vast collection ...
C&EN

In Silico Demonstration of Two-Dimensional Mass Spectrometry Using Spatially Dependent Fragmentation

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Two-dimensional mass spectrometry (2DMS) allows for the analysis of complex mixtures ...
InfoWorld

Use Cython to accelerate array iteration in NumPy

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...